How to Manage Multi-Cluster Kubernetes with Operators

At Kubermatic, we have been helping our customers deliver Kubernetes clusters and other cloud native solutions since before they were buzzwords. We helped customers build clusters using Ansible, Terraform, and a variety of other non cloud native tools…and we helped them rebuild the clusters when we ran into the limits of these tools. In these early days, two things quickly became clear to us: 1) Kubernetes is not a single large cluster solution, but rather requires a larger number of smaller clusters 2) Kubernetes multi-cluster management needs cloud native tools built for a declarative, API driven world. Since then, these ideas have largely been validated by a variety of organizations around the world including the CNCF, Twitter, USA Today, Zalando, and Alibaba. Knowing that every company running Kubernetes at scale would need to effectively administer multi-cluster management, we created the open source Kubermatic Kubernetes Platform. This blog post will cover why you need multi-cluster management, how Kubermatic Kubernetes Platform leverages Kubernetes Operators to automate cluster life cycle management across multiple clusters, clouds, and regions and how you can get started with it today.

This is a companion discussion topic for the original entry at